Matthew S. Weber

121 total papers · 1.8k total citations
53 papers, 977 citations indexed

About

Matthew S. Weber is a scholar working on Communication, Sociology and Political Science and Information Systems. According to data from OpenAlex, Matthew S. Weber has authored 53 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Communication, 13 papers in Sociology and Political Science and 9 papers in Information Systems. Recurrent topics in Matthew S. Weber's work include Social Media and Politics (11 papers), Knowledge Management and Sharing (9 papers) and Media Studies and Communication (7 papers). Matthew S. Weber is often cited by papers focused on Social Media and Politics (11 papers), Knowledge Management and Sharing (9 papers) and Media Studies and Communication (7 papers). Matthew S. Weber collaborates with scholars based in United States, Netherlands and Germany. Matthew S. Weber's co-authors include Nicole B. Ellison, Jennifer L. Gibbs, Peter R. Monge, Itzhak Yanovitzky, François Bar, Wei Shi, Janet Fulk, Jonathan H. Grabowski, Philip O. Yund and Heewon Kim and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and International Journal of Coal Geology.

In The Last Decade

Matthew S. Weber

47 papers receiving 917 citations

Hit Papers

The Use of Enterprise Soc... 2014 2026 2018 2022 2014 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew S. Weber 500 415 118 90 85 53 977
Yoonjae Nam 302 0.6× 667 1.6× 143 1.2× 60 0.7× 63 0.7× 54 1.1k
Panos Panagiotopoulos 406 0.8× 470 1.1× 83 0.7× 30 0.3× 78 0.9× 51 1.2k
Nicholas W. Jankowski 300 0.6× 381 0.9× 85 0.7× 76 0.8× 97 1.1× 32 959
Erik Johnston 293 0.6× 378 0.9× 30 0.3× 63 0.7× 101 1.2× 45 1.1k
Roberta Lamb 176 0.4× 352 0.8× 84 0.7× 44 0.5× 89 1.0× 43 881
Sorin Adam Matei 489 1.0× 563 1.4× 55 0.5× 73 0.8× 126 1.5× 62 1.2k
Elisabeth Davenport 256 0.5× 193 0.5× 113 1.0× 47 0.5× 162 1.9× 89 895
Miriam Meckel 509 1.0× 543 1.3× 149 1.3× 95 1.1× 136 1.6× 96 1.2k
Bijan Azad 420 0.8× 526 1.3× 179 1.5× 62 0.7× 61 0.7× 28 989
Anita Greenhill 170 0.3× 329 0.8× 74 0.6× 90 1.0× 91 1.1× 56 862

Countries citing papers authored by Matthew S. Weber

Since Specialization
Citations

This map shows the geographic impact of Matthew S. Weber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew S. Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Weber more than expected).

Fields of papers citing papers by Matthew S. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Weber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew S. Weber. The network helps show where Matthew S. Weber may publish in the future.

Co-authorship network of co-authors of Matthew S. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Weber. A scholar is included among the top collaborators of Matthew S. Weber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew S. Weber. Matthew S. Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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